Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientific problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
Spatial databases are entering an era of mass deployment in various real-life applications, especially mobile and location-based services. The real-time processing of spatial quer...
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
This paper presents a parallel algorithm for recursive query processing and shows how it can be efficiently implemented in a local computer network. The algorithm relies on an int...